Affected people
Consider users, workers, customers, and others who may experience a decision without choosing the tool.
The companies shaping AI have a responsibility to consider who benefits, who carries risk, and what safeguards are necessary before technology reaches scale.
Trust comes from clear boundaries, honest communication, rigorous evaluation, and a willingness to correct course when systems fall short.
Technology can widen opportunity only if teams test it across different needs, languages, abilities, and real-world constraints.
We encourage companies to consider energy use, data provenance, workforce impact, and governance as core operating questions from the beginning.
Teams can make responsibility concrete by identifying who is affected and how they can raise a problem.
Consider users, workers, customers, and others who may experience a decision without choosing the tool.
Make quality, resource use, data provenance, and distribution of benefits part of product reviews.
Name who can approve a release, stop an unsafe workflow, and own a correction.